Image Classification
Transformers
PyTorch
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use surprisedPikachu007/tomato-disease-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use surprisedPikachu007/tomato-disease-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="surprisedPikachu007/tomato-disease-detection") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("surprisedPikachu007/tomato-disease-detection") model = AutoModelForImageClassification.from_pretrained("surprisedPikachu007/tomato-disease-detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
f3981a9
1
Parent(s): a888dee
End of training
Browse files
runs/Mar09_10-25-32_pikachus-manjaro/events.out.tfevents.1678337740.pikachus-manjaro.10008.0
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